8 citations · 14 across the 8 of their papers we have counts for
4 papers · 1 filter
Automated Motion Artifact Check for MRI (AutoMAC-MRI): An Interpretable Framework for Motion Artifact Detection and Severity Assessment
Antony Jerald, Dattesh Shanbhag, Sudhanya Chatterjee
Motion artifacts degrade MRI image quality and increase patient recalls. Existing automated quality assessment methods are largely limited to binary decisions and provide little in…
Data Adaptive Few-shot Multi Label Segmentation with Foundation Model
Gurunath Reddy, Dattesh Shanbhag, Deepa Anand
The high cost of obtaining accurate annotations for image segmentation and localization makes the use of one and few shot algorithms attractive. Several state-of-the-art methods fo…
Language Augmentation in CLIP for Improved Anatomy Detection on Multi-modal Medical Images
Mansi Kakkar, Dattesh Shanbhag, Chandan Aladahalli +1
Vision-language models have emerged as a powerful tool for previously challenging multi-modal classification problem in the medical domain. This development has led to the explorat…
One-shot Localization and Segmentation of Medical Images with Foundation Models
Deepa Anand, Gurunath Reddy M, Vanika Singhal +10
Recent advances in Vision Transformers (ViT) and Stable Diffusion (SD) models with their ability to capture rich semantic features of the image have been used for image corresponde…